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# Zuvu AI and Vana Unite Efforts to Improve Uncentralized AI Progress on Bittensor
Zuvu AI and Vana revealed a collaboration on February 26th, with the intention of reinforcing uncentralized AI tech on Bittensor. Their aspiration is to fashion a more accessible and financially viable AI environment.
Zuvu AI, previously recognized as SocialTensor, contributes its vast background in broadening four Bittensor (TAO) subnets. Vana, recently guided by Binance founder Changpeng Zhao, donates its inventive user-possessed data network.
This joint effort intends to assess a fresh AI progress prototype by incorporating crucial layers of the uncentralized AI stack, authorizing accessible, cooperative, and financially viable customs.
## Fashioning Tangible Worth
Art Abal, Managing Director of the Vana Foundation, remarked that this collaboration unifies Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer. The aspiration is to enhance Vana’s DataDAO environment and tackle noteworthy obstacles in AI progress.
Zuvu bolsters the AI economic layer, empowering models, agents, and data to be invested in, secured, traded, and profited from, fashioning novel prospects in a swiftly expanding market. The press release indicates that this collaboration arrives at a juncture when the AI market is anticipated to attain trillions of dollars by 2032.
## DeFi’s Mounting Disturbance
This collaboration and its unification with Bittensor are strategic, leveraging Bittensor’s incentive-motivated network to scale AI progress. By uniting user-possessed data with permissionless computing and economic incentives, this collaboration mirrors the disturbance of traditional finance by uncentralized finance.
According to Art Abal of the Vana Foundation and Daniel Raissar, COO of Zuvu AI, this collaboration is projected to heighten the diversity of Bittensor’s subnets, sustain the expansion of Vana’s DataDAO, and position Zuvu as a frontrunner in the financialization of AI, potentially swaying industry customs.
The collaboration demonstrates the increasing tendency of publicly accessible machine intelligence, exemplified by Bittensor’s remarkable growth to 45 functioning networks. Furthermore, it tackles the rising need for substitutes to major concentrated AI companies.
